Triple

T5072091
Position Surface form Disambiguated ID Type / Status
Subject Mad Max E114304 entity
Predicate starring P1507 FINISHED
Object Hugh Keays-Byrne E201562 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Hugh Keays-Byrne | Statement: [Mad Max, starring, Hugh Keays-Byrne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hugh Keays-Byrne
Context triple: [Mad Max, starring, Hugh Keays-Byrne]
  • A. Hugh Keays-Byrne chosen
    Hugh Keays-Byrne was an English-Australian character actor best known for his villainous roles in the Mad Max film franchise, including his portrayal of Immortan Joe in Mad Max: Fury Road.
  • B. Adam Ackland
    Adam Ackland is a British film and television producer known for his work on acclaimed dramas such as the series "Patrick Melrose."
  • C. Martin Boddey
    Martin Boddey was a British character actor known for his frequent supporting roles in mid-20th-century films and television, often portraying authority figures such as policemen and officials.
  • D. David Seidler
    David Seidler is a British-American screenwriter best known for writing the Academy Award-winning screenplay for the historical drama film "The King’s Speech."
  • E. Richard Eyer
    Richard Eyer is an American former child actor best known for his roles in 1950s films and television series, including notable performances in family dramas and fantasy adventures.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69bd443cf28c8190ad371d603563dbdd completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74ce140881909a2874663244c0db completed March 20, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb1110a388190a5db1c94b3d60d6b completed March 21, 2026, 2:54 p.m.
Created at: March 20, 2026, 1:39 p.m.